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Statistical Analyst Jobs in Indiana (NOW HIRING)

Job DetailsJob Location: Soul Provider, Inc - Westfield, IN 46074Position Type: Full TimeEducation Level: 4 Year DegreeTravel Percentage: NoneJob Shift: DayThe Data Analyst will play a critical role

Director of Biostatistics

Fishers, IN Β· Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Director of Biostatistics

Carmel, IN Β· Remote

$60 - $65/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on

Showing results 21-40

Statistical Analyst information

See Indiana salary details

$28.5K

$67K

$111.8K

How much do statistical analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for statistical analyst in Indiana is $67,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $77,100.00 per year, depending on experience, location, and employer.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

What are the most commonly searched types of Statistical Analyst jobs in Indiana?

The most popular types of Statistical Analyst jobs in Indiana are:

What job categories do people searching Statistical Analyst jobs in Indiana look for?

The top searched job categories for Statistical Analyst jobs in Indiana are:

What are popular job titles related to Statistical Analyst jobs in IN?

For Statistical Analyst jobs in IN, the most frequently searched job titles are:

Infographic showing various Statistical Analyst job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 79% Physical, 9% Hybrid, and 12% Remote job distribution, with an average salary of $67,038 per year, or $32.2 per hour.

Data Analyst

Westfield, IN β€’ On-site

Cover Care
201 - 500 employees

Other

Posted 11 days ago


Job description

Job DetailsJob Location: Soul Provider, Inc - Westfield, IN 46074Position Type: Full TimeEducation Level: 4 Year DegreeTravel Percentage: NoneJob Shift: DayThe Data Analyst will play a critical role in supporting finance, executive, and operational teams by ensuring data integrity, delivering actionable insights and driving financial reporting and operational excellence. This position requires strong analytical skills, attention to detail and ability to collaborate across departments to build business intelligence dashboards and enhance reporting capabilities. The Data Analyst will also interpret data, identify trends and visualize findings to communicate insights effectively.

Essential Duties and Responsibilities
  • Extract and process data from various sources, including databases, APIs, and reports generated from a variety of internal programs, external sources and software providers
  • Design and optimize enterprise-level reporting data workflows to improve efficiency and scalability
  • Ensure data integrity and consistency by cleaning data, identifying and correcting any errors, troubleshooting missing values and understanding the business to ensure data aligns with and validates business results & KPI’s
  • Analyze and interpret datasets using statistical analysis, focusing on trends and patterns
  • Develop and create reports and dashboards to present findings to stakeholders
  • Communicate visual representations of data using tools such as Tableau or Power BI to make insights understandable
  • Write and optimize SQL queries against large-scale datasets
  • Collaborate with cross-functional teams to understand their data needs and provide support for consolidated reporting and data driven decision-making.
  • Develop and deliver ad hoc analysis projects to address urgent business concerns as they develop utilizing data in real time
  • Support strategic objectives by establishing KPIs, refining key performance indicators and other quantifiable business objectives to measure the effectiveness of business initiatives
  • Partner with leadership and act as a business intelligence consultant to executives and other functional leaders to identify improvement opportunities and guide strategic planning
Qualifications
  • Bachelor's degree or equivalent practical experience in a quantitative field (Statistics, Data Science, Business Analytics, or related)
  • 3+ years of data analysis / business intelligence experience
  • Proficiency in data analysis tools such as SQL, Python, R, and Excel
  • Experience in machine learning, predictive modeling, or statistical analysis
  • Experience with NetSuite ERP, Power BI, Tableau or other visualization tools
  • Demonstrated ability to understand manufacturing business needs and speak to technical and non-technical operational business groups
  • Strong communication skills, with demonstrated ability to present and explain the significance of data to business stakeholders
  • Microsoft Office (Outlook, Word, Excel, PowerPoint, Project, Visio, etc.); NetSuite experience; Web proficiency.
Working Conditions
  • Primarily works in an office environment with frequent interaction on the manufacturing floor.
Physical Requirements
  • Ability to sit and work at a desk for long periods of time
  • Ability to perform close visual work for prolonged periods of time
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